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Learn AI, end to end
Tensorpath

Tensorpath Β· upskilling people on AI Β· 20 days Β· fundamentals β†’ the 2026 frontier

From β€œAttention Is All You Need” to the age of AI agents.

Tensorpath is the flagship program for training professionals and students on AI β€” at scale. A guided 20-day journey from the very first Transformer to today’s reasoning models, multimodal systems, and agents. You learn live with an expert trainer and a personal AI coach that hand-holds you the whole way β€” then earn a verifiable certificate.

Enroll free β€” start learning β†’No cost to begin Β· learn at your pace
20
Days
20/20
Lessons ready
Live + AI-coached
Format
Experts
Delivered by

How the program works

1

Enroll & set your goal

Tell us your background and what you want from AI. Your learning is personalised from day one.

2

Learn live + with your AI coach

An expert trainer presents each day live; between sessions your AI coach answers questions, gives scenarios, and tells you what to learn next.

3

Build a capstone & get certified

Complete the 20 days and a hands-on project to earn a certificate any organisation can verify.

The 20-day journey

Every day is a complete, story-driven lesson your trainer delivers live β€” and you can revisit any time.

Day 111 slides

The World Before Transformers

How a single 2017 paper rewrote the future of intelligence

Day 211 slides

Inside the Transformer

Q, K, V and the machine that pays attention to everything at once

Day 311 slides

How Transformers Learn to Speak

From raw text to fluent generation: tokens, training, and the dials behind every answer

Day 411 slides

BERT and the Encoder Revolution

How half a Transformer quietly learned to read the whole sentence at once

Day 511 slides

GPT and the Generative Line

How the other half of the Transformer learned to talk β€” one word at a time

Day 611 slides

Scale Is a Strategy β€” GPT-3 and the Scaling Laws

What happens when 'just make it bigger' becomes a serious research program

Day 712 slides

Talking to the Machine: Prompting and In-Context Learning

How a few sentences of English became the most powerful programming language on Earth

Day 811 slides

Teaching Machines to Want to Help: Alignment, RLHF, and the ChatGPT Moment

How a clumsy text-predictor became an assistant the whole world fell in love with overnight

Day 913 slides

The Open-Weight Awakening: LLaMA, Mistral, and the Models You Can Own

How a leaked file in 2023 broke the monopoly and put frontier AI on your own laptop

Day 1012 slides

Make It Yours β€” Fine-Tuning, LoRA and PEFT

How to bend a giant model to your will without setting your budget on fire

Day 1112 slides

Memory for Machines β€” Embeddings, Vector Databases and RAG

How to give an AI your knowledge without ever retraining it

Day 1211 slides

From Chatbots to Doers β€” Agents, Tool Use and Function Calling

The day the model stops talking and starts acting

Day 1311 slides

Beyond Text β€” Multimodal AI and Vision

How the Transformer learned to see, read, and talk in one mind

Day 1411 slides

Machines That Imagine β€” Diffusion and Generative Media

How AI learned to paint, film, and sing by sculpting order out of noise

Day 1510 slides

Teaching Models to Think β€” Reasoning, Chain-of-Thought and Test-Time Compute

The day AI learned to slow down, deliberate, and think longer before answering

Day 1611 slides

Bigger, Cheaper, Longer

MoE, Long Context, and the New Architectures Racing Past Attention

Day 1712 slides

Trust, Truth and Safety

Evaluation, Hallucination, and Alignment at Scale

Day 1812 slides

Shipping AI

Inference, Serving, Quantization, and the Economics of Production

Day 1913 slides

The Frontier Has a Pulse

Agents, MCP, Computer Use, and the Model Landscape of Mid-2026

Day 2013 slides

Becoming the Teacher

Capstone, the Road Ahead, and How to Teach This Course

Start your AI journey with Tensorpath

Join the professionals and students upskilling on AI through Tensorpath.

Enroll free β†’